基于BP神经网络的人力资源实践与组织情境的匹配研究

摘要

The paper analyzes the matching relation between HRM practices and organizational situation based on the BP neural network model, sets up the prediction model with good prediction effect. It found that the four main influencing factors of the HRM practice is the enterprise life cycle, regularization, vertical boundaries and level. And in the same organization situation, comparing the existing similar enterprises, the newly established enterprises are tend to be used in recruitment, training, performance appraisal, employee promotion four HRM practices, and are more likely to improve in the position channel, salary system, employee participation and communication.%本文通过BP神经网络模型来分析HRM实践与组织情境的匹配关系，建立了具有良好预测效果的预测模型。发现决定HRM实践的四个主要影响情境因素是企业生命周期、正规化、垂直边界、等级情况。并且在相同的组织情境下，对比已有的类似企业，新建立企业在招聘、培训、绩效考核、员工晋升四个HRM实践倾向于沿用，而对在职位通道、薪酬制度、员工参与、沟通方面则倾向于进行改良。